{"schemaVersion":"jobsearcher.job.v1","id":"ecec091fb1df1b6e3db6420a","url":"https://jobsearcher.com/jobs/ecec091fb1df1b6e3db6420a","canonicalUrl":"https://jobsearcher.com/jobs/ecec091fb1df1b6e3db6420a","title":"Software Developer 2","description":"Working at MIT offers opportunities that just aren’t found anywhere else, including generous and unique benefits that help to ensure that MIT employees are healthy, supported, and enjoy a fulfilling work/life balance.\n\nWe welcome people from all walks of life to bring their talent, ideas, and experience to our community. We strongly encourage applications from individuals from all identities and backgrounds – like yours. If you want to be part of our exceptional, multicultural, collaborative, and inclusive community, then take a look at this opportunity.\n\nMIT provides pay ranges representing its good faith estimate of what the Institute reasonably expects to pay for a full time position at the time of posting (if you are applying for a part time salaried job, you will need to prorate the posted pay range). The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. This pay range represents base pay only and does not include any other benefits or compensation.\n\nSoftware Developer 2\nJob Number: 26022\nFunctional Area: Information Technology\nDepartment: Jameel Clinic for ML in Health\nSchool Area: Schwarzman College of Computing\nPay Range Minimum: $90,320\nPay Range Maximum: $122,080\nEmployment Type: Full-Time\nEmployment Category: Exempt\nVisa Sponsorship Available: No\nSchedule: M-D\nPay Grade: 9\n\nPosting Description\nSOFTWARE ENGINEER / MACHINE LEARNING ENGINEER, MIT Jameel Clinic for Machine Learning in Health, to participate in the full life cycle of application and research-software development for Jameel Clinic research programs and related MIT collaborations. Responsibilities include requirements analysis, technical design, coding, testing, documentation, deployment support, troubleshooting, and production support for research workflows; developing and maintaining machine learning systems, data pipelines, model evaluation tools, applications, and reusable software components; supporting model training, evaluation, benchmarking, validation, analysis, and deployment-related workflows; working with health, biological, chemical, molecular, materials, and other scientific datasets; maintaining version-controlled repositories, testing practices, documentation, and coding standards; collaborating with faculty, researchers, students, technical staff, and external collaborators; evaluating relevant software tools, machine learning frameworks, data platforms, and engineering practices; and contributing technical material for reports, proposals, presentations, publications, and collaborator communications.\n\nJob Requirements\n\nREQUIRED: Bachelor's degree in computer science, engineering, machine learning, computational biology, computational chemistry, materials science, data science, or a related technical field; minimum five years of relevant programming, software engineering, machine learning engineering, research engineering, scientific computing, or applied data science experience; strong Python programming skills and experience with modern software development practices; experience with machine learning frameworks such as PyTorch, JAX, TensorFlow, or scikit-learn; experience developing technical design specifications, program specifications, prototypes, test scenarios, scripts, unit tests, and technical documentation; ability to work with structured and unstructured scientific datasets and translate technical requirements into maintainable code; strong analytical, debugging, documentation, communication, and collaboration skills; and ability to manage multiple technical tasks, follow through on priorities, and work both independently and as part of a team. PREFERRED: experience with molecular machine learning, biological data, chemical data, clinical data, materials data, graph-based methods, geometric deep learning, representation learning, generative models, or multimodal learning; familiarity with scientific data formats, APIs, databases, cloud computing, high-performance computing, Docker, workflow management, or MLOps practices; ability to read technical literature and translate research methods into working code; and experience contributing to collaborative research projects, open-source software, technical reports, proposals, or publications.\n\n9/10/2026","company":"Mit","rawCompany":"mit","city":"Somerville","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-09-11T11:25:36.323Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Developer 2","description":"Working at MIT offers opportunities that just aren’t found anywhere else, including generous and unique benefits that help to ensure that MIT employees are healthy, supported, and enjoy a fulfilling work/life balance.\n\nWe welcome people from all walks of life to bring their talent, ideas, and experience to our community. We strongly encourage applications from individuals from all identities and backgrounds – like yours. If you want to be part of our exceptional, multicultural, collaborative, and inclusive community, then take a look at this opportunity.\n\nMIT provides pay ranges representing its good faith estimate of what the Institute reasonably expects to pay for a full time position at the time of posting (if you are applying for a part time salaried job, you will need to prorate the posted pay range). The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. This pay range represents base pay only and does not include any other benefits or compensation.\n\nSoftware Developer 2\nJob Number: 26022\nFunctional Area: Information Technology\nDepartment: Jameel Clinic for ML in Health\nSchool Area: Schwarzman College of Computing\nPay Range Minimum: $90,320\nPay Range Maximum: $122,080\nEmployment Type: Full-Time\nEmployment Category: Exempt\nVisa Sponsorship Available: No\nSchedule: M-D\nPay Grade: 9\n\nPosting Description\nSOFTWARE ENGINEER / MACHINE LEARNING ENGINEER, MIT Jameel Clinic for Machine Learning in Health, to participate in the full life cycle of application and research-software development for Jameel Clinic research programs and related MIT collaborations. Responsibilities include requirements analysis, technical design, coding, testing, documentation, deployment support, troubleshooting, and production support for research workflows; developing and maintaining machine learning systems, data pipelines, model evaluation tools, applications, and reusable software components; supporting model training, evaluation, benchmarking, validation, analysis, and deployment-related workflows; working with health, biological, chemical, molecular, materials, and other scientific datasets; maintaining version-controlled repositories, testing practices, documentation, and coding standards; collaborating with faculty, researchers, students, technical staff, and external collaborators; evaluating relevant software tools, machine learning frameworks, data platforms, and engineering practices; and contributing technical material for reports, proposals, presentations, publications, and collaborator communications.\n\nJob Requirements\n\nREQUIRED: Bachelor's degree in computer science, engineering, machine learning, computational biology, computational chemistry, materials science, data science, or a related technical field; minimum five years of relevant programming, software engineering, machine learning engineering, research engineering, scientific computing, or applied data science experience; strong Python programming skills and experience with modern software development practices; experience with machine learning frameworks such as PyTorch, JAX, TensorFlow, or scikit-learn; experience developing technical design specifications, program specifications, prototypes, test scenarios, scripts, unit tests, and technical documentation; ability to work with structured and unstructured scientific datasets and translate technical requirements into maintainable code; strong analytical, debugging, documentation, communication, and collaboration skills; and ability to manage multiple technical tasks, follow through on priorities, and work both independently and as part of a team. 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